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실시간 로그데이터 분석 기반의 전기차 경로 최적화 기법
조나단 보약(Jonathan Boyack),최종성(Jongseong Choi) 대한기계학회 2022 대한기계학회 춘추학술대회 Vol.2022 No.11
An issue presented when the question arises of why more people are not using electric vehicles is that the support structure for EVs is not as widespread as for gas-powered cars. For this reason, path optimization for long-distance travel including quick charging and minimizing travel time has been a crucial task for development. To improve upon current methods, we use real-time log data to glean information about the vehicle’s physical properties, and the driver’s abilities and timing to give an optimal path. Here, the log data is a record of the voltage and current with the associated vehicle speed in realtime. Using such data, we have developed a method that takes these things into account and produces an optimized path between two points while connecting them with quick charge locations where the vehicle would be low on battery. If the vehicle has been loaded more or less than usual or if the drag of the vehicle is affected which can cause the initially planned path to need correction, our method does this automatically.
실시간 로그데이터 분석 기반의 전기차 경로 최적화 기법
조나단 보약(Jonathan Boyack),최종성(Jongseong Choi) 대한기계학회 2022 대한기계학회 춘추학술대회 Vol.2022 No.11
An issue presented when the question arises of why more people are not using electric vehicles is that the support structure for EVs is not as widespread as for gas-powered cars. For this reason, path optimization for long-distance travel including quick charging and minimizing travel time has been a crucial task for development. To improve upon current methods, we use real-time log data to glean information about the vehicle’s physical properties, and the driver’s abilities and timing to give an optimal path. Here, the log data is a record of the voltage and current with the associated vehicle speed in realtime. Using such data, we have developed a method that takes these things into account and produces an optimized path between two points while connecting them with quick charge locations where the vehicle would be low on battery. If the vehicle has been loaded more or less than usual or if the drag of the vehicle is affected which can cause the initially planned path to need correction, our method does this automatically.
Jonathan Boyack(조나단 보약),Jongseong Choi(최종성) 대한기계학회 2023 대한기계학회 춘추학술대회 Vol.2023 No.11
Natural disasters frequently cause serious damage to business, buildings, and homes. This damage creates areas around the structure that are dangerous to people or vehicles moving nearby. To clear these areas for workers to approach, an inspector must complete an evaluation of the exterior of the building to warn of hazardous areas. These inspections can be lengthy depending on building size and design which can inhibit the daily life of those in the affected areas. By combining novel techniques in machine learning with new image sensors and platforms, such as unmanned aerial vehicles (UAVs), the time these inspections take can be greatly reduced. In this paper we explained the method developed which uses a convolutional neural network (CNN) which has been trained on a small number of labeled images using transfer learning to determine whether the images are damaged or safe. The images are also used to generate an orthophoto of the exterior of the building using a technique called structure from motion (SfM). Over each location of damage on a portion of the orthophoto, a region of interest (ROI) is generated. Depending on how large a portion of the orthophoto is covered those ROIs are transferred to the smaller images and used for training data for the CNN. This decreases the amount of labelling required for the training data set.
Development of User-Designated-Path Driving Ground Rover for Construction Site Monitoring
Ricardo Ortiz(리카르도 도티즈),Jee Won Lee(이지원),Jonathan Boyack(조나단 보약),Jongseong Choi(최종성) 대한기계학회 2022 대한기계학회 춘추학술대회 Vol.2022 No.11
Construction workers are more likely of suffering injuries from work than other employees from other regular activities. Consequently, developing an unmanned mobile monitoring system became a crucial task for researchers and practitioners to secure human safety as well as construction assets. To achieve constant surveillance, the mobile system needs to be operated with a detailed and pre-determined path plan. However, construction sites do not always have routes registered on maps, hindering human exclusion in such operations. This work is to develop a user-designatedpath driving ground rover on construction sites. The developed system first allows the rover to receive a user’s designated path drawn on a map and then operate by following the guided path. A sliding mode controller was designed to capture the motion of a regular vehicle whose real-time displacement and velocity were measured with RTK-GPS device equipped on the rover. This work is successfully validated with a simulation showing the controller following the path with a guided velocity.
Development of User-Designated-Path Driving Ground Rover for Construction Site Monitoring
Ricardo Ortiz(리카르도 도티즈),Jee Won Lee(이지원),Jonathan Boyack(조나단 보약),Jongseong Choi(최종성) 대한기계학회 2022 대한기계학회 춘추학술대회 Vol.2022 No.11
Construction workers are more likely of suffering injuries from work than other employees from other regular activities. Consequently, developing an unmanned mobile monitoring system became a crucial task for researchers and practitioners to secure human safety as well as construction assets. To achieve constant surveillance, the mobile system needs to be operated with a detailed and pre-determined path plan. However, construction sites do not always have routes registered on maps, hindering human exclusion in such operations. This work is to develop a user-designatedpath driving ground rover on construction sites. The developed system first allows the rover to receive a user’s designated path drawn on a map and then operate by following the guided path. A sliding mode controller was designed to capture the motion of a regular vehicle whose real-time displacement and velocity were measured with RTK-GPS device equipped on the rover. This work is successfully validated with a simulation showing the controller following the path with a guided velocity.